J/MNRAS/500/859 Ridges in the Dark Energy Survey (Moews+, 2021)
================================================================================
Ridges in the Dark Energy Survey for cosmic trough identification.
Moews B., Schmitz M.A., Lawler A.J., Zuntz J., Malz A.I., de Souza R.S.,
Vilalta R., Krone-Martins A., Ishida E.E.O., COIN Collaboration
=2021MNRAS.500..859M (SIMBAD/NED BibCode)
================================================================================
ADC_Keywords: Gravitational lensing ; Positional data
Keywords: gravitational lensing: weak - methods: data analysis -
methods: statistical - large-scale structure of Universe
Abstract:
Cosmic voids and their corresponding redshift-aggregated projections
of mass densities, known as troughs, play an important role in our
attempt to model the large-scale structure of the Universe.
Understanding these structures leads to tests comparing the standard
model with alternative cosmologies, constraints on the dark energy
equation of state, and provides evidence to differentiate among
gravitational theories. In this paper, we extend the
subspace-constrained mean shift algorithm, a recently introduced
method to estimate density ridges, and apply it to 2D weak-lensing
mass density maps from the Dark Energy Survey Y1 data release to
identify curvilinear filamentary structures. We compare the obtained
ridges with previous approaches to extract trough structure in the
same data, and apply curvelets as an alternative wavelet-based method
to constrain densities. We then invoke the Wasserstein distance
between noisy and noiseless simulations to validate the denoising
capabilities of our method. Our results demonstrate the viability of
ridge estimation as a precursor for denoising weak lensing quantities
to recover the large-scale structure, paving the way for a more
versatile and effective search for troughs.
Description:
Ridges reconstructed by the subspace-constrained mean shift algorithm
applied to the the Dark Energy Survey Y1 data release (Drlica-Wagner
et al, 2018ApJS..235...33D). The reconstructed ridges are represented
by discretized points, and this dataset contains equatorial
coordinates of such points truncated at the 5th decimal point,
corresponding to a truncation residuals of ~14 milliarcseconds with
respect to the full precision reconstruction, thus already bellow the
level of astrometric systematics of ground-based surveys.
File Summary:
--------------------------------------------------------------------------------
FileName Lrecl Records Explanations
--------------------------------------------------------------------------------
ReadMe 80 . This file
desridge.dat 19 87416 Positions of the points defining the
discretization of the ridge
--------------------------------------------------------------------------------
Byte-by-byte Description of file: desridge.dat
--------------------------------------------------------------------------------
Bytes Format Units Label Explanations
--------------------------------------------------------------------------------
1- 9 F9.5 deg RAdeg [] Right Ascension (J2000.0)
11- 19 F9.5 deg DEdeg Declination (J2000.0)
--------------------------------------------------------------------------------
Acknowledgements:
Alberto Krone-Martins, algol(at)uci.edu
References:
Drlica-Wagner A., Sevilla-Noarbe I., Rykoff E.S. et al., 2018ApJS..235...33D
Dark Energy Survey Year 1 Results: The Photometric Data Set for Cosmology
================================================================================
(End) Patricia Vannier [CDS] 07-Oct-2020